StataCorp will be offering sessions of NC-101, NC-151, NC-152, and NC-461
starting January 23rd. The NetCourses are available on the Internet using a
web-based system to deliver lectures, problem sets, and solutions. Course
participants and Stata course leaders interact through a bulletin board to
discuss the course and to ask and answer questions.
Here is a little more information about the upcoming NetCourses:
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NetCourse 101. Introduction to Stata
---------------------------------------------
Course length: 6 weeks (4 lectures)
Course dates: January 23 through March 6
Deadline for enrollment: January 22
Cost: $95
Course Leaders: Kevin Crow, Kerry Kammire,
and Theresa Boswell
Prerequisites: Stata 10 installed and working.
Internet web browser installed and
working. (Course is platform
independent.)
Schedule:
Lecture 1 January 23
Lecture 2 January 30
One-week break February 5 through February 11
Lecture 3 February 13
Lecture 4 February 20
Closing discussion
Course ends March 6
Content:
o Getting started with Stata
o Understanding the fundamentals of Stata syntax
o Managing and organizing work and files
o Searching for new commands, help, and other information
o Installing new commands over the web
o Managing data
o Managing categorical variables
o Handing groups with -by- processing
o Reading various types of data into Stata
o Match-merging and appending data
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NetCourse 151. Introduction to Stata programming
-------------------------------------------------
Course length: 6 weeks (4 lectures)
Course dates: January 23 through March 6
Deadline for enrollment: January 22
Cost: $125
Course Leaders: Kevin Crow, Kerry Kammire,
and Theresa Boswell
Prerequisites: Stata 10 installed and working.
Basic knowledge of using Stata
interactively. Internet web browser
installed and working. (Course is
platform independent.)
Schedule:
Lecture 1 January 23
Lecture 2 January 30
One-week break February 5 through February 11
Lecture 3 February 13
Lecture 4 February 20
Closing discussion
Course ends March 6
Content:
o Organizing analyses
o Handling complex datasets
o Use of macros
o Flow of control
o Program arguments
o Bootstrapping standard errors
o Performing simulations
o Parsing program arguments (including the -syntax- command)
o ado-file programming
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NetCourse 152. Advanced Stata programming
------------------------------------------
Course length: 7 weeks (5 lectures)
Course dates: January 23 through March 13
Deadline for enrollment: January 22
Cost: $150
Course Leaders: Kevin Crow, Kerry Kammire,
and Theresa Boswell
Prerequisites: Stata 10 installed and working.
Internet web browser installed and
working. NetCourse 151 or equivalent
knowledge. (Course is platform
independent.)
Schedule:
Lecture 1 January 23
Lecture 2 January 30
Lecture 3 February 6
One-week break February 12 through February 18
Lecture 4 February 20
Lecture 5 February 27
Closing discussion
Course ends March 13
Content:
o The -syntax- command and how it makes parsing command syntax
and options almost as easy as writing a syntax diagram,
o Estimates and return classes for saving and accessing
results,
o Setting the estimation sample,
o Advanced macro manipulation,
o The full range of Stata programming concepts.
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NetCourse 461. Introduction to Univariate Time Series Using Stata
-----------------------------------------------------------------------
Course length: 7 weeks (4 lectures plus overview of
multivariate methods)
Course dates: January 23 through March 13
Deadline for enrollment: January 22
Cost: $295
Course Leaders: Brian Poi and Gustavo Sanchez
Prerequisites: Stata 10 installed and working.
Course content of NetCourse 101 or
equivalent knowledge. Familiarity
with basic cross-sectional summary
statistics and linear regression.
Internet web browser, installed and
working. (Course is platform
independent.)
Schedule:
Lecture 1 January 23
Lecture 2 January 30
Lecture 3 February 6
One-week break February 12 through February 18
Lecture 4 February 20
Overview February 27
Closing discussion
Course ends March 13
Content:
o Working with time-series data in Stata
o Drawing graphs
o Exponential smoothers and forecasting techniques
o Time-series processes
o Sample autocorrelation and partial autocorrelation functions
o ARIMA and seasonal ARIMA models
o Autocorrelation and regression analysis
o Nonstationarity and unit-root tests
o ARCH/GARCH models
o Vector autoregressions (VARs) and vector error correction
models (VECMs)
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More information
----------------
You can find out more about Stata NetCourses by pointing your web browser to
http://www.stata.com/info/products/netcourse/
-- Kerry Kammire, StataCorp
[email protected]
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
